ks (version 1.6.13)

dnorm.mixt, rnorm.mixt: Univariate normal mixture distribution

Description

Random generation and density values from univariate normal mixture distribution.

Usage

dnorm.mixt(x, mus=0, sigmas=1, props=1)
rnorm.mixt(n=100, mus=0, sigmas=1, props=1, mixt.label=FALSE)

Arguments

n

number of random variates

x

vector of quantiles

mus

vector of means

sigmas

vector of standard deviations

props

vector of mixing proportions

mixt.label

flag to output numeric label indicating the mixture component. Default is FALSE.

Value

• Univariate normal mixture random vectors and density values.

Examples

x <- rnorm.mixt(1000, mus=c(-1,1), sigmas=c(0.5, 0.5), props=c(1/2, 1/2))
dens <- dnorm.mixt(x, mus=c(-1,1), sigmas=c(0.5, 0.5), props=c(1/2, 1/2))